most citedLoHoRavens: A Long-Horizon Language-Conditioned Benchmark for Robotic Tabletop Manipulation

2 citations · 2 across the 6 of their papers we have counts for

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cs.RO2023

Anthropomorphic Grasping with Neural Object Shape Completion

Diego Hidalgo-Carvajal, Hanzhi Chen, Gemma C. Bettelani +6

The progressive prevalence of robots in human-suited environments has given rise to a myriad of object manipulation techniques, in which dexterity plays a paramount role. It is wel…

cs.RO2023★ 2 cited

LoHoRavens: A Long-Horizon Language-Conditioned Benchmark for Robotic Tabletop Manipulation

Shengqiang Zhang, Philipp Wicke, Lütfi Kerem Şenel +5

The convergence of embodied agents and large language models (LLMs) has brought significant advancements to embodied instruction following. Particularly, the strong reasoning capab…

cs.RO2023

Care3D: An Active 3D Object Detection Dataset of Real Robotic-Care Environments

Michael G. Adam, Sebastian Eger, Martin Piccolrovazzi +10

As labor shortage increases in the health sector, the demand for assistive robotics grows. However, the needed test data to develop those robots is scarce, especially for the appli…

cs.RO2023

A Concise Overview of Safety Aspects in Human-Robot Interaction

Mazin Hamad, Simone Nertinger, Robin J. Kirschner +3

As of today, robots exhibit impressive agility but also pose potential hazards to humans using/collaborating with them. Consequently, safety is considered the most paramount factor…

cs.RO2023

Towards Language-Based Modulation of Assistive Robots through Multimodal Models

Philipp Wicke, Lüfti Kerem Şenel, Shengqiang Zhang +4

In the field of Geriatronics, enabling effective and transparent communication between humans and robots is crucial for enhancing the acceptance and performance of assistive robots…